Fault-tolerant scheduling of graph-based loads on fog/cloud environments with multi-level queues and LSTM-based workload prediction
Workflow scheduling in the fog/cloud environment is a complex challenge, particularly with
the increasing number of IoT devices. Many workflow applications have time constraints …
the increasing number of IoT devices. Many workflow applications have time constraints …
A multi-objective QoS-aware IoT service placement mechanism using Teaching Learning-Based Optimization in the fog computing environment
Y Sha, H Wang, D Wang, M Ghobaei-Arani - Neural Computing and …, 2024 - Springer
The huge amount and diversity of data generated by Internet of Things (IoT) devices and the
need to store and process this data led to the development of fog computing alongside cloud …
need to store and process this data led to the development of fog computing alongside cloud …
Fully unsupervised word translation from cross-lingual word embeddings especially for healthcare professionals
Unsupervised word to word translation without parallel corpora has attracted much research
interest in the recent years. Even with the remarkable success of the recent techniques that …
interest in the recent years. Even with the remarkable success of the recent techniques that …
Resource allocation in Fog–Cloud Environments: State of the art
The rapid expansion of omnipresent phenomena, exemplified by the Internet of Things (IoT),
necessitates significant consideration of data volume and processing requirements. Cloud …
necessitates significant consideration of data volume and processing requirements. Cloud …
Accountable, responsible, transparent artificial intelligence in ambient intelligence systems for healthcare
The future due to various socioeconomic reasons will demand an increased need for the
extension of rehabilitation in home environments. However, due to the rapid development of …
extension of rehabilitation in home environments. However, due to the rapid development of …
Development of a decision support system tool to predict the pulmonary function using artificial neural network approach
S Kalantary, R Pourbabaki, A Jahani… - Concurrency and …, 2021 - Wiley Online Library
The spirometry is considered a preclinical tool for the evaluation of the respiratory system.
The formal lung volumes measurement and health status lung system are made using …
The formal lung volumes measurement and health status lung system are made using …
Blockchain and internet of things in healthcare systems: prospects, issues, and challenges
The rapid development in information technologies is making a big change to the health
sector. The method of prescription, diagnosis and sharing of vital health information is still …
sector. The method of prescription, diagnosis and sharing of vital health information is still …
Impact of diversity management practices on learning organization and organizational performance in hotel industry
Purpose of this paper is to highlight the impact of diversity management practices on
learning organization and then how they both effect organizational performance in hotel …
learning organization and then how they both effect organizational performance in hotel …
[PDF][PDF] Software Reliability Assessment Using Hybrid Neuro-Fuzzy Model.
Software reliability is the primary concern of software development organizations, and the
exponentially increasing demand for reliable software requires modeling techniques to be …
exponentially increasing demand for reliable software requires modeling techniques to be …
[PDF][PDF] NPBMT: A Novel and Proficient Buffer Management Technique for Internet of Vehicle-Based DTNs.
ABSTRACT Delay Tolerant Networks (DTNs) have the major problem of message delay in
the network due to a lack of endto-end connectivity between the nodes, especially when the …
the network due to a lack of endto-end connectivity between the nodes, especially when the …